{"id":"W4389409554","doi":"10.1016/j.cie.2023.109820","title":"Optimal dynamic strategy for emission reduction and operation considering hybrid carbon policy with carbon tax and cap-and-trade","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Carbon tax; Transfer payment; Profit (economics); Supply chain; Business; Greenhouse gas; Revenue; Emissions trading; Payment; Pareto principle; Microeconomics; Government (linguistics); Environmental economics; Economics; Industrial organization; Natural resource economics; Welfare; Finance; Market economy; Operations management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007882408,0.001414273,0.001825282,0.001342953,0.0009770915,0.003185353,0.001173388,0.002769596,0.005677475],"category_scores_gemma":[0.001446095,0.0009705039,0.0009591175,0.001039031,0.0008622441,0.001790234,0.001179149,0.00123103,0.0004110579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259787,"about_ca_system_score_gemma":0.002469901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067919,"about_ca_topic_score_gemma":0.007555936,"domain_scores_codex":[0.9993943,0.0001561457,0.00001621212,0.000119452,0.000101394,0.000212478],"domain_scores_gemma":[0.9994012,0.0002839756,0.00006963317,0.00002580719,0.0001353789,0.00008413442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001279111,0.00007034401,0.0003026152,0.00006221611,0.00004686905,0.0001382831,0.00002659381,0.984211,0.001443277,0.007071186,0.0006763489,0.005823318],"study_design_scores_gemma":[0.00001807868,0.00005137207,0.0001935195,0.000007128991,0.00001883897,0.00001987237,0.00003482787,0.9963945,0.0002648064,0.002750042,0.000236886,0.00001017543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3597259,0.001109448,0.5569908,0.002847281,0.0003933651,0.000359182,0.0004402729,0.0006365388,0.07749727],"genre_scores_gemma":[0.9893773,0.0001203557,0.006205225,0.00008039008,0.00002408884,0.00006049591,0.00004027606,0.00002108101,0.004070856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067919,"threshold_uncertainty_score":0.02123404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181212064098454,"score_gpt":0.2185988896384316,"score_spread":0.2004776832285862,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}